Open AccessDesign of Power Security Protection System Based on Neural Network Algorithm
Author(s) -
Yusong Huang,
Honglue Zhang,
Shi Shi,
Weilun Lv
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/474/5/052011
Subject(s) - artificial neural network , reliability engineering , electric power system , computer science , reliability (semiconductor) , analytic hierarchy process , algorithm , process (computing) , fault (geology) , identification (biology) , power (physics) , engineering , artificial intelligence , operations research , physics , botany , quantum mechanics , seismology , biology , geology , operating system
Power safety is closely related to production and life, so an essential part of the power safety protection system. Safety accidents are inseparably linked to equipment and the environment. Electricity safety accidents are not rare in causing loss of life and property. The neural network algorithm-based power security system uses the analytic hierarchy process to layer multiple logical structures of the power grid, evaluates the factors that affect safety, obtains the weight of each influencing factor, and selects the higher impact on power system safety interference according to the weight Factors. Now neural network algorithms have begun to be widely used, and electrical safety systems based on neural network algorithms play a significant role in power safety. Combining neural network algorithms with power safety protection systems can effectively guide functions such as aging monitoring, life prediction, and fault identification of power equipment, and can also improve the accuracy of power system reliability assessment.